Achieving Both Valid and Secure Logistic Regression Analysis on Aggregated Data from Different Private Sources
Preserving the privacy of individual databases when carrying out statistical calculations has a relatively long history in statistics and had been the focus of much recent attention in machine learning. In this paper, we present a protocol for fitting a logistic regression when the data are held by...
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| المؤلفون الرئيسيون: | , , |
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| التنسيق: | text |
| اللغة: | English |
| منشور في: |
Institutional Knowledge at Singapore Management University
2012
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://ink.library.smu.edu.sg/larc/2 https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1001&context=larc |
| الوسوم: |
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